El objetivo de este curso de Deep Learning es aprender los fundamentos del Machine Learning, Deep Learning de forma practica y teorica.

Contenido del curso:

• Python

  • Introduccion a Python
  • Modulo Numpy
  • Modulo Pandas
  • Visualizacion de datos con Matplotlib y Seaborn

• Fundamentos Matematicos para el Deep Learning

  • Estadistica aplicada al Machine Learning
  • Probabilidad aplicada al ML
  • Algebra lineal y Calculo Vectorial aplicada al ML

• Fundamentos del Machine Learning

  • Regression Lineal
  • Regresion Logistica
  • Support Vector Machines
  • Decision Trees, Random Forest and Gradient Boosting Machines

• Fundamentos de Deep Learning

  • Perceptron
  • Foward Propagation
  • Backpropagation
  • Redes Neuronales Multicapa
  • Bases de Pytorch y Tensorflow
  • Tensorflow eager execution y Keras API

• Deep Learning for Computer Vision

  • Redes Neuronales Convolucionales
  • Transfer Learning
  • Clasificacion en Imagenes
  • Deteccion de Objetos con Tensorflow Object Detection API
  • Algoritmos de Segmentacion

• Deep Learning for Natural Language Proccessing

  • Redes Neuronales Recurrentes
  • Gated Recurrent Units
  • Long Short Term Memory
  • Bidirectional Recurrent Neural Networks

• Aprendizaje No supervisado

  • Variational Autoencoders
  • Generative Adversarial Neural Networks

• Introduccion al Deep Reinforcement Learning

Recursos para aprender Deep Learning

• Machine Learning Course
• Machine Learning Specialization
• CS229 Machine Learning
• CS231 Deep Learning for Computer Vision
• CS224 Natural Language Processing
• Deep Learning by Google
• Data Scientist with Python
• Deep Reinforcement Learning
• Neural Networks for Machine Learning
• Oxford's Machine Learning
• NYU's Deep Learning
• Cambridge Information Theory, Pattern Recognition, and Neural Networks
• MIT Statistical Learning Theory and Applications
• CMU Statistical Machine Learning
• CMU Convex Optimization

Libros

• Understanding Machine Learning: From Theory to Algorithms
• Deep Learning Book
• Neural Networks and Deep Learning
• Unsupervised Feature Learning and Deep Learning